Developing a dataset to validate computational models that analyze digital pathology images to assess TILs in breast cancer from fda statistician Watch Video
Preview(s):
Gallery
Play Video: (Note: The default playback of the video is HD VERSION. If your browser is buffering the video slowly, please play the REGULAR MP4 VERSION or Open The Video below for better experience. Thank you!)
⏲ Duration: 33 min 60 sec ✓ Published: 05-Nov-2022
Description: This presentation provides an overview of the High Throughput Truthing (HTT) project. The HTT project aims to develop a dataset of slides, images, and measurements of a quantitative prognostic biomarker fit for a regulatory purpose. The context is breast cancer, the biomarker is the density of stromal tumor-infiltrating lymphocytes (sTILs) in hematoxylin and eosin-stained invasive breast cancer specimens, and the purpose is to validate computational models. We discuss the results of a pilot stud
Play Video: (Note: The default playback of the video is HD VERSION. If your browser is buffering the video slowly, please play the REGULAR MP4 VERSION or Open The Video below for better experience. Thank you!)